CN109688675A - Green housing Intelligent energy-saving system - Google Patents
Green housing Intelligent energy-saving system Download PDFInfo
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- CN109688675A CN109688675A CN201811634177.1A CN201811634177A CN109688675A CN 109688675 A CN109688675 A CN 109688675A CN 201811634177 A CN201811634177 A CN 201811634177A CN 109688675 A CN109688675 A CN 109688675A
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
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Abstract
The present invention provides a kind of green housing Intelligent energy-saving system, which includes: meteorological data acquisition unit, for obtaining meteorological data in real time；Multiple brightness test sections generate multiple luminance signals for real-time detection brightness；Multiple intelligent road-lamp components, for illuminating；And artificial intelligence automatically updates information processing centre, respectively with meteorological data acquisition unit, brightness test section and the connection of intelligent road-lamp assembly communication, artificial intelligence automatically updates information processing centre according to meteorological data, the control instruction algorithm generation brightness control instruction that luminance signal and initial control instruction pass through setting, and the brightness control instruction is sent to corresponding intelligent road-lamp component to control the brightness of illumination of the intelligent road-lamp component, and the continuous self-teaching of artificial intelligence is based on to Boiler pressure control instruction according to luminance signal after the instruction implementation predetermined time, self adjustment, self-renewing, so that lighting system is more intelligent, brightness control is more accurate, and energy conservation and environmental protection.
Description
Technical field
The present invention relates to technical field of buildings, and in particular to green housing Intelligent energy-saving system.
Background technique
The building energy consumption in China account in energy consumption specific gravity it is very big, in building energy consumption, outdoor lighting is equally occupied
Biggish specific gravity, and the lighting installation in residential quarters often will appear energy waste and what cannot be distributed well shows
As causing a large amount of wastes of electric energy, being unfavorable for the sustainability of house and the good development of economy.
The situation for solving energy shortage and environmental degradation is very urgent, and the concept of green building is gradually by national weight
Depending on China's Green Architectural Development enters the all-round developing stage.Artificial intelligence technology rapidly develops simultaneously, based on the artificial of big data
Intelligence has the characteristics that high intelligent and flexibility, and the lighting system for being applied to residential quarters will greatly optimize photograph
The energy resource structure and utilization rate of bright system.
How artificial intelligence technology to be applied in the lighting system of residential quarters, becomes a current important research class
Topic.
Summary of the invention
To solve the above problems, the object of the present invention is to provide a kind of green housing Intelligent energy-saving system, it can be to firmly
Multiple residence areas containing multiple residential housings of residence cell carry out outdoor brightness intelligent control, and energy conservation and environmental protection.
To solve the above problems, present invention employs following technical solutions:
The present invention provides a kind of green housing Intelligent energy-saving system, for residential quarters it is multiple containing it is multiple live
The residence area of residence building carries out outdoor brightness intelligent control characterized by comprising meteorological data acquisition unit, for real-time
Obtain the residential quarters of weather bureau's detection includes sun set/raise time, sky brightness and the meteorological data of brightness；It is multiple bright
Test section is spent, respectively corresponds and is arranged in multiple residence areas, for the brightness in the multiple residence areas of real-time detection to raw
At multiple luminance signals；Multiple intelligent road-lamp components, respectively correspond be arranged in multiple residence areas, for respectively it is multiple live
Quarter domain is illuminated；And artificial intelligence automatically updates information processing centre, detects respectively with meteorological data acquisition unit, brightness
Portion and the connection of intelligent road-lamp assembly communication, wherein meteorological data is sent to artificial intelligence automatically more by meteorological data acquisition unit
The corresponding luminance signal of each residence area is sent to artificial intelligence certainly respectively by new information processing center, multiple brightness test sections
Dynamic to update information processing centre, artificial intelligence automatically updates information processing centre and receives meteorological data and luminance signal and basis
Meteorological data, luminance signal and initial control instruction generate brightness control instruction by the control instruction algorithm of setting, into one
The intelligent road-lamp component that the brightness control instruction is sent in corresponding residence area is controlled the intelligent road-lamp component by step
Brightness of illumination, and then realize that the smart brightness to each residence area based on meteorological data controls.Green of the invention is lived
Residence Intelligent energy-saving system also has a feature in that wherein, brightness test section include be arranged in it is red on the ceiling in region
Outer brightness monitoring camera and the luminance sensor being arranged on the ground in region.
Green housing Intelligent energy-saving system of the invention, also has a feature in that wherein, intelligent road-lamp component packet
Contain: pedestal is embedded on the ground of residence area, lamp stand, and on the base, energy-saving LED lamp group is fixed at lamp for fixed setting
On bar, Yu Zhaoming and artificial intelligence chip are fixed in pedestal and automatically update information processing centre with artificial intelligence
Communication connection refers to for receiving artificial intelligence and automatically updating the brightness control instruction of information processing centre and controlled according to the brightness
Enable the brightness of illumination of control energy-saving LED lamp group.
Green housing Intelligent energy-saving system of the invention, also has the feature that, further includes: power supply passes through electricity
Cable is electrically connected with people's intelligent road-lamp component, is used for intelligent road-lamp assembly power supply, wherein power supply includes multiple first photovoltaics
Solar panels are separately positioned on the top of multiple residential housings, for converting solar energy into electrical energy thus to intelligent road-lamp group
Part power supply, multiple second photovoltaic solar panels are separately positioned on multiple lamp stands, for convert solar energy into electrical energy to
Intelligent road-lamp assembly power supply, multiple wind-driven generators are separately positioned on the top of multiple lamp stands, for converting wind energy into electricity
Can be to intelligent road-lamp assembly power supply, electric energy acquisition unit, by cable respectively with municipal power grid and each intelligent road-lamp
Component electrical connection.
Green housing Intelligent energy-saving system of the invention, also has a feature in that wherein, and brightness test section includes setting
The luminance sensor setting the infrared brightness monitoring camera on lamp stand and being arranged on the ground of residence area.
Green housing Intelligent energy-saving system of the invention, also has a feature in that wherein, and the control instruction of setting is calculated
Method is error backpropagation algorithm, which automatically updates information processing centre for artificial intelligence the following steps are included: step 1
The meteorological data and luminance signal of each residence area received are as input value xi and set input value xiIt is corresponding
Weight wi, step 2, by input value xiAnd corresponding weight wiIt substitutes into following formula (1) and intermediate control instruction y is calculated,
Step 3, the error e for calculating intermediate control instruction y and initial control instruction P see below formula (2)
E=y-p (2)
Step 3 adjusts weight w according to error ei, step 4, error in judgement e whether within a predetermined range, when being judged as
When no, two are entered step, when the judgment is yes, using intermediate control instruction y as the brightness control instruction of corresponding residence area
Output,For excitation function, n is the total quantity of input value.
Green housing Intelligent energy-saving system of the invention, also has the feature that, further includes: private database,
In, once artificial intelligence, which automatically updates information processing centre, generates brightness control instruction, artificial intelligence automatically updates information processing
Center just using brightness control instruction as historical light's control instruction, send historical light's control instruction when luminance signal make
For original intensity signal and after sending luminance signal of historical light's control instruction after the predetermined time as instruction implementation
Luminance signal is sent to private database, and private database receives historical light's control instruction, original intensity signal and instruction
Luminance signal after implementation, and correspondence is carried out to luminance signal after historical light's control instruction, original intensity signal, instruction implementation and is deposited
Storage, once artificial intelligence automatically updates the luminance signal that information processing centre receives each residence area, artificial intelligence is automatic
Information processing centre is updated just using historical light's control instruction corresponding with the luminance signal in private database as at the beginning of new
Beginning control instruction, thus realize the artificial intelligence automatically update information processing centre self-teaching, self adjustment, self more
Newly.
Green housing Intelligent energy-saving system of the invention, also has a feature in that wherein artificial intelligence automatically updates
Information processing centre is made of the computer of intelligent algorithm.
Invention action and effect
The green housing Intelligent energy-saving system being related to according to the present invention, due to meteorological data acquisition unit, energy
Enough residential quarters for obtaining weather bureau's detection in real time include sun set/raise time, sky brightness and the meteorological data of brightness,
Due to multiple brightness test sections, can brightness in the multiple residence areas of real-time detection to generate multiple brightness letters
Number；Due to that can be respectively that multiple residence areas are illuminated with multiple intelligent road-lamp components；Due to artificial intelligence
Information processing centre can be automatically updated, is connected respectively with meteorological data acquisition unit, brightness test section and intelligent road-lamp assembly communication
It connects, meteorological data and luminance signal can be received and according to meteorological data, luminance signal and initial control instruction by setting
Fixed control instruction algorithm generates brightness control instruction, and further the brightness control instruction is sent in corresponding residence area
Intelligent road-lamp component to control the brightness of illumination of the intelligent road-lamp component, and then realize to each residence area based on gas
The smart brightness of image data controls, and so as to adjust the brightness of illumination of residential quarters according to actual needs, reduces electric energy damage
Consumption and the lightness environment that Comfortable green has been built for residential quarters.
Due to being electrically connected with people's intelligent road-lamp component by cable with power supply, can to intelligent road-lamp assembly power supply,
The power supply includes multiple first photovoltaic solar panels, multiple second photovoltaic solar panels and multiple wind-driven generators, and first
Photovoltaic solar panel can convert solar energy into electrical energy to which to intelligent road-lamp assembly power supply, the second photovoltaic solar panel can
Convert solar energy into electrical energy to intelligent road-lamp assembly power supply, wind-driven generator can convert wind energy into electric energy to
Intelligent road-lamp assembly power supply, so that green clean energy resource is converted into electric energy, it is environmentally protective, be conducive to sustainable development.
Due to private database, once artificial intelligence, which automatically updates information processing centre, generates brightness control instruction,
Artificial intelligence automatically update information processing centre just using brightness control instruction as historical light's control instruction, to send the history bright
Luminance signal when spending control instruction as original intensity signal and sends historical light's control instruction after the predetermined time
Luminance signal implement as instruction after luminance signal be sent to private database, private database receives historical light's control and refers to
It enables, luminance signal after original intensity signal and instruction implementation, and to historical light's control instruction, original intensity signal, instruction
Luminance signal carries out corresponding storage after implementation, once artificial intelligence, which automatically updates information processing centre, receives each residence area
Luminance signal, artificial intelligence automatically updates information processing centre just for history corresponding with the luminance signal in private database
Brightness control instruction as new initial control instruction, so artificial intelligence of the invention automatically update information processing centre can
Self-renewing study and self-control are constantly carried out, thus more accurate to the intelligent control of brightness quick.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of residential quarters in the embodiment of the present invention；
Fig. 2 is the structural schematic diagram of the embodiment of the present invention Green housing intelligent energy conserving system；
Fig. 3 is the process schematic of data fusion in the embodiment of the present invention；
Fig. 4 is the structural schematic diagram of intelligent road-lamp component in the embodiment of the present invention；
Fig. 5 is the electric energy transmitting schematic diagram in the embodiment of the present invention；
Fig. 6 is the information transmitting schematic diagram in the embodiment of the present invention；
Fig. 7 is BP neural network illustraton of model；
Fig. 8 is the step flow chart of BP algorithm；And
Fig. 9 is the motion flow of the brightness control movement of the embodiment of the present invention Green housing intelligent energy conserving system
Figure.
Specific embodiment
In order to be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, tie below
Attached drawing is closed to be specifically addressed green housing Intelligent energy-saving system of the invention.
Fig. 1 is the structural schematic diagram of residential quarters in the embodiment of the present invention.
As shown in Figure 1, the residential quarters 200 of the present embodiment are the residential quarters of medium format, the residential quarters are according to photograph
Brightness and lighting hours demand are divided into multiple residence areas 210, and (residence area 210 for example can be in cell culture
The heart, residential housing compact district etc.), each residence area has multiple residential housings 211.
Fig. 2 is the structural schematic diagram of the embodiment of the present invention Green housing intelligent energy conserving system.
As shown in Fig. 2, the green housing Intelligent energy-saving system 100 of the present embodiment is used for the multiple of residential quarters 200
Residence area 210 carries out outdoor brightness intelligent control, including meteorological data acquisition unit (not shown), multiple brightness test sections
(not shown), multiple intelligent road-lamp components 10, power supply 20, artificial intelligence automatically update information processing centre 30 and specially
With database 40.
Meteorological data acquisition unit and weather bureau 300 communicate to connect, small for obtaining the house that weather bureau 300 detects in real time
Area 200 includes sun set/raise time, sky brightness, humidity and the meteorological data of brightness, and the meteorological data is sent to
Artificial intelligence automatically updates information processing centre 30.
Multiple brightness test sections are correspondingly arranged at respectively in multiple residence areas 210, are used for the multiple residential quarters of real-time detection
The corresponding luminance signal of each residence area 210 is sent to manually by the brightness in domain 210 to generate multiple luminance signals
Intelligence automatically updates information processing centre 30.The brightness test section includes the infrared brightness monitoring being arranged on aftermentioned lamp stand 12
Camera and the luminance sensor being arranged on the ground of residence area 210.
Fig. 3 is the process schematic of data fusion in the embodiment of the present invention.
As shown in figure 3, these parameter majorities are the non electrical quantities with different characteristic by taking humidity, brightness, brightness as an example, that
Firstly the need of electric signal is converted into, the digital signal for facilitating computer disposal is converted it into after A/D is converted.
Due to the influence of environment or human factor, some interference signals and noise signal can be generated, so to believe the number after conversion
Number carry out data prediction, the interference information in collection process is filtered out with this；Useful signal after treatment is mentioned by feature
It takes, algorithm fusion obtains the output result after multiple Data Fusion of Sensor.The major advantage of this amalgamation mode is its energy
The minute information that other fusion PCRs cannot provide is provided, due to not having information loss, it is logical for its fusion performance with higher
Be commonly applied to: multi-source image is compound, image analysis and understanding and the synthesis of multiple observation source datas.
Fig. 4 is the structural schematic diagram of intelligent road-lamp component in embodiment of the invention.
It is arranged in multiple residence areas as shown in figure 4, multiple intelligent road-lamp components 10 respectively correspond, for being respectively more
A residence area 210 is illuminated, and has pedestal 11, lamp stand 12, energy-saving LED lamp group 13 and artificial intelligence chip 14.
Pedestal 11 is embedded on the ground of residence area, for fixed support.
Lamp stand 12 is fixedly installed on the base 11.
Energy-saving LED lamp group 13 is fixed on lamp stand 12, and for illuminating, and the energy-saving LED lamp group 13 is with lesser
Electric quantity consumption.
Artificial intelligence chip 14, which is fixed in pedestal 11 and automatically updates information processing centre 30 with artificial intelligence, to be led to
Letter connection refers to for receiving artificial intelligence and automatically updating the brightness control instruction of information processing centre 30 and controlled according to the brightness
The brightness of illumination of control energy-saving LED lamp group 13 is enabled, further feeds back to the brightness of illumination of the energy-saving LED lamp group 13 at work intelligence
Reason center 40.
Fig. 5 is the electric energy transmitting schematic diagram in the embodiment of the present invention.
As shown in figure 5, power supply 20 passes through cable 50 and intelligent road-lamp component and the household electricity of residential housing 211 electricity
Connection is used for intelligent road-lamp assembly power supply.Power supply 20 has multiple first photovoltaic solar panels 21, multiple second photovoltaics too
Positive energy plate 22, multiple wind-driven generators 23 and electric energy acquisition unit (not shown).
Multiple first photovoltaic solar panels 21 are separately positioned on the top of multiple residential housings 211, for turning solar energy
Electric energy is turned to power to intelligent road-lamp component 10.
Multiple second photovoltaic solar panels 22 are separately positioned on multiple lamp stands 12, for convert solar energy into electrical energy from
And it powers to intelligent road-lamp component 10.
Multiple wind-driven generators 23 are separately positioned on the top of multiple lamp stands 12, for convert wind energy into electric energy to
To intelligent road-lamp assembly power supply.The brightness of illumination of the energy-saving LED lamp group 13 is fed back to artificial intelligence certainly by artificial intelligence chip 14
While dynamic update information processing centre 30, the second photovoltaic solar panel 22 and wind-driven generator on lamp stand 12 will be also corresponded to
23 production capacity situation feeds back to artificial intelligence and automatically updates information processing centre 30.
Electric energy acquisition unit is electrically connected with municipal power grid 400 and each intelligent road-lamp component respectively by cable 50, is used
In when the first photovoltaic solar panel 21, the second photovoltaic solar panel 22 and wind-driven generator 23 can not obtain energy to municipal administration
Power grid 400 obtains electric power.Certainly, in the first photovoltaic solar panel 21, the second photovoltaic solar panel 22 and wind-driven generator 23
When the energy comparison of acquisition is plentiful, the electricity that conversion obtains can also be conveyed in the household electricity of each residential housing.From
And the self-sufficient of electric energy is not only realized, it can also be used when electric energy is plentiful to household electricity.
Fig. 6 is the information transmitting schematic diagram in the embodiment of the present invention.
It is made of as shown in fig. 6, artificial intelligence automatically updates information processing centre 30 computer of intelligent algorithm, is
The maincenter information treatment part of the green housing Intelligent energy-saving system 100 of the present embodiment, can be to be mounted on residential quarters 200
It can be with the computer of remote control and regulation at computer or any other position in computer room.The artificial intelligence automatically updates at information
Reason center 30 by cable 50 respectively with meteorological data acquisition unit, brightness test section, intelligent road-lamp component 10, power supply 20 and
Private database 40 communicates to connect, and comes from meteorological data acquisition unit, brightness test section, intelligent road-lamp component so as to handle
10, the data information of power supply 20.When starting first time, artificial intelligence automatically updates information processing centre 30 and receives meteorological number
According to the meteorological data of acquisition unit and the luminance signal of brightness test section and according to the meteorological data, luminance signal and initial control
System instruction generates brightness control instruction by the control instruction algorithm of setting, and the brightness control instruction is further sent to correspondence
Residence area 210 in intelligent road-lamp component 10 to control the brightness of illumination of the intelligent road-lamp component 10, and then realize pair
The smart brightness control based on meteorological data of each residence area 210, avoids brightness excessively high or too low, reaches intelligent tune
Control and energy-efficient purpose.Sensor 1 ... sensor n in figure respectively indicates meteorological data acquisition unit and multiple brightness inspection
Survey portion.
Wherein, the control instruction algorithm set is error backpropagation algorithm.
Fig. 7 is BP neural network illustraton of model, and Fig. 8 is the step flow chart of BP algorithm.
As shown in Figure 7 and Figure 8, the information flow direction of propagated forward is input layer → hidden layer → output in the algorithm
Layer, mathematical model are as follows:
Wherein, Wi and b is its weight and offset parameter, f (W, b；X): R → R is known as excitation function, optional in practical application
The functions such as sigmoid, tanh, ReLU or its variant form are taken, hW, b (x) are network output valve.
The direction of back-propagating is: output layer → hidden layer, mathematical model are as follows:
Wherein, e is cost function, can be acquired by least square method；Y is desired value；λ > 0 is a constant；λ/2W2
For penalty term.
The specific learning algorithm of neural network is also referred to as supervised learning using supervised learning.During learning training
An input pattern constantly is provided in pairs to network and mode that an expectation network correctly exports, that is, it is expected defeated
Out.When the reality output of network and desired output are not inconsistent, network weight is adjusted according to the direction of the two error signal and size,
To make network reality output become closer to network desired output.
Sum up that steps are as follows:
1. providing a pattern pair x to networkk-pkAnd initial weight
2. calculating network reality output yk
3. calculating reality output and desired output ground error ek=yk-pk
4. changing connection weight according to error, above step is repeated to each training mode, until overall error is less than target
Error requirements.
Wherein, xkIndicate kth item input value, pkIndicate kth item preset value, ykIndicate kth item hidden layer output valve.
In the present embodiment, error backpropagation algorithm the following steps are included:
Artificial intelligence is automatically updated the meteorology for each residence area 210 that information processing centre 30 receives by step 1
Data and luminance signal are as input value xiAnd set input value xiCorresponding weight Wi,
Step 2, by input value xiAnd corresponding weight WiIt substitutes into following formula (1) and intermediate control instruction y is calculated,
Step 3, the error e for calculating intermediate control instruction y and initial control instruction P see below formula (2)
E=y-p (2)
Step 3 adjusts weight W according to error ei,
Whether within a predetermined range step 4, error in judgement e, when the judgment is no, enter step two, when being judged as YES
When, it is exported intermediate control instruction y as the brightness control instruction of corresponding residence area,
Wherein,For excitation function, n is the total quantity of input value.
Artificial intelligence automatically updates information processing centre 30 and makees the brightness control instruction after generating brightness control instruction
For historical light's control instruction, send historical light's control instruction when luminance signal as original intensity signal and transmission
Luminance signal is sent to exclusive data after luminance signal of historical light's control instruction after the predetermined time is implemented as instruction
Library 40.
Private database 40 can be to automatically update the database that information processing centre 30 integrates with artificial intelligence,
Or it can store the cloud of data.The private database 40 is for automatically updating information processing centre 30 to artificial intelligence
Luminance signal, which is received and corresponded to, after historical light's control instruction, original intensity signal and the instruction sent is implemented deposits
Storage.Once artificial intelligence automatically updates the luminance signal that information processing centre receives each residence area, artificial intelligence is automatic
Information processing centre is updated just using historical light's control instruction corresponding with the luminance signal in private database as at the beginning of new
Beginning control instruction is constantly learnt using artificial intelligence technology so that artificial intelligence to constantly correct to historical light's control instruction
It can automatically update that information processing centre 30 is more and more clever, and then increasingly accurately control the illumination of entire residential quarters 200
Distribution.
Fig. 5 is the motion flow of the brightness control movement of the embodiment of the present invention Green housing intelligent energy conserving system
Figure.
As shown in figure 5, the brightness control movement of green housing Intelligent energy-saving system 100 is moved in the present embodiment one
Make process S1 to comprise the following steps:
Step S1-1, meteorological data acquisition unit obtain the meteorological data for the residential quarters 200 that weather bureau 300 detects, and
The meteorological data is sent to artificial intelligence and automatically updates information processing centre 30, subsequently into step S1-2.
Step S1-2, the brightness in multiple multiple residence areas 210 of brightness test section real-time detection are multiple bright to generate
Signal is spent, and corresponding luminance signal is sent to artificial intelligence respectively and automatically updates information processing centre 30, subsequently into step
Rapid S1-3.
Step S1-3, artificial intelligence automatically update the brightness that information processing centre 30 receives meteorological data and each region
Signal simultaneously obtains the similar bright of corresponding residence area 210 in private database 40 based on the meteorological data and luminance signal
The corresponding historical control instruction of signal is spent and using the historical control instruction as initial control instruction currently, subsequently into step
S1-4。
Step S1-4, artificial intelligence automatically update information processing centre 30 according to the meteorological data, luminance signal and just
Beginning control instruction generates brightness control instruction by the control instruction algorithm of setting, is further sent to the brightness control instruction
Intelligent road-lamp component 10 in corresponding residence area 210, subsequently into step S1-5.
Step S1-5, artificial intelligence automatically update information processing centre 30 using control instruction as historical control instruction, hair
The luminance signal when historical control instruction is given as original intensity signal and sends historical control instruction by the predetermined time
Luminance signal is sent to private database 40 after luminance signal afterwards is implemented as instruction, subsequently into step S1-6.
Step S1-6, brightness is believed after private database 40 implements historical control instruction, original intensity signal and instruction
It number carries out receiving and corresponding storage, subsequently into terminating state.
Embodiment action and effect
The green housing Intelligent energy-saving system being related to according to the present embodiment, due to meteorological data acquisition unit,
The residential quarters of weather bureau's detection can be obtained in real time includes sun set/raise time, sky brightness and the meteorological number of brightness
According to, due to multiple brightness test sections, can brightness in the multiple residence areas of real-time detection it is multiple bright to generate
Spend signal；Due to that can be respectively that multiple residence areas are illuminated with multiple intelligent road-lamp components；Due to people
Work intelligently automatically updates information processing centre, logical with meteorological data acquisition unit, brightness test section and intelligent road-lamp component respectively
Letter connection can receive meteorological data and luminance signal and be led to according to meteorological data, luminance signal and initial control instruction
The control instruction algorithm for crossing setting generates brightness control instruction, and the brightness control instruction is further sent to corresponding residential quarter
Intelligent road-lamp component in domain realizes the base to each residence area to control the brightness of illumination of the intelligent road-lamp component
It is controlled in the smart brightness of meteorological data, so as to adjust the brightness of illumination of residential quarters according to actual needs, reduces electricity
It can be lost and build for residential quarters the lightness environment of Comfortable green.
Due to being electrically connected with people's intelligent road-lamp component by cable with power supply, can to intelligent road-lamp assembly power supply,
The power supply includes multiple first photovoltaic solar panels, multiple second photovoltaic solar panels and multiple wind-driven generators, and first
Photovoltaic solar panel can convert solar energy into electrical energy to which to intelligent road-lamp assembly power supply, the second photovoltaic solar panel can
Convert solar energy into electrical energy to intelligent road-lamp assembly power supply, wind-driven generator can convert wind energy into electric energy to
Intelligent road-lamp assembly power supply, so that green clean energy resource is converted into electric energy, it is environmentally protective, be conducive to sustainable development.
Since brightness test section includes the infrared brightness monitoring camera being arranged on lamp stand and is arranged in residence area
Ground on luminance sensor, infrared brightness monitoring camera is complementary with the installation site of luminance sensor, so as to right
Residential quarters carry out comprehensive brightness detection, so that the present embodiment is more accurate to the regulation of brightness.
Due to private database, once artificial intelligence, which automatically updates information processing centre, generates brightness control instruction,
Artificial intelligence automatically update information processing centre just using brightness control instruction as historical light's control instruction, to send the history bright
Luminance signal when spending control instruction as original intensity signal and sends historical light's control instruction after the predetermined time
Luminance signal implement as instruction after luminance signal be sent to private database, private database receives historical light's control and refers to
It enables, luminance signal after original intensity signal and instruction implementation, and to historical light's control instruction, original intensity signal, instruction
Luminance signal carries out corresponding storage after implementation, once artificial intelligence, which automatically updates information processing centre, receives each residence area
Luminance signal, artificial intelligence automatically updates information processing centre just for history corresponding with the luminance signal in private database
Brightness control instruction is as new initial control instruction, so the artificial intelligence of the present embodiment automatically updates information processing centre energy
It is enough constantly to carry out self-renewing study and self-control, thus more accurate to the intelligent control of brightness quick.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that the ordinary skill of this field is without wound
The property made labour, which according to the present invention can conceive, makes many modifications and variations.Therefore, all technician in the art
Pass through the available technology of logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Scheme, all should be within the scope of protection determined by the claims.
Claims (7)
1. a kind of green housing Intelligent energy-saving system, for multiple residential quarters containing multiple residential housings to residential quarters
Domain carries out outdoor brightness intelligent control characterized by comprising
Meteorological data acquisition unit, for obtain in real time weather bureau detection the residential quarters include sun set/raise time, day
The meteorological data of empty brightness and temperature；
Multiple brightness test sections respectively correspond and are arranged in multiple residence areas, are used for the multiple houses of real-time detection
Brightness in region is to generate multiple luminance signals；
Multiple intelligent road-lamp components respectively correspond and are arranged in multiple residence areas, are used for respectively multiple houses
Region is illuminated；And
Artificial intelligence automatically updates information processing centre, respectively with the meteorological data acquisition unit, the brightness test section and
The intelligent road-lamp assembly communication connection,
Wherein, the meteorological data is sent to the artificial intelligence and automatically updated in information processing by the meteorological data acquisition unit
The heart,
The corresponding luminance signal of each residence area is sent to described artificial by multiple brightness test sections respectively
Intelligence automatically updates information processing centre,
The artificial intelligence automatically updates information processing centre and receives the meteorological data and the luminance signal and according to institute
It states meteorological data, the luminance signal and initial control instruction and generates brightness by the control instruction algorithm of setting and control and refer to
It enables, the brightness control instruction is further sent to the intelligent road-lamp component in the corresponding residence area to control
The brightness of illumination of the intelligent road-lamp component, and then realize bright to the intelligence based on the meteorological data of each residence area
Degree control.
2. green housing Intelligent energy-saving system according to claim 1, it is characterised in that:
Wherein, the intelligent road-lamp component includes:
Pedestal is embedded on the ground of the residence area,
Lamp stand is fixed on the pedestal,
Energy-saving LED lamp group is fixed on the lamp stand, for illuminating, and
Artificial intelligence chip, is fixed in the pedestal and automatically updates information processing centre with the artificial intelligence and communicate
Connection, automatically updates the brightness control instruction of information processing centre and according to the brightness control for receiving the artificial intelligence
System instruction controls the brightness of illumination of the energy-saving LED lamp group.
3. green housing Intelligent energy-saving system according to claim 2, which is characterized in that further include:
Power supply is electrically connected by cable with people's intelligent road-lamp component, is used for the intelligent road-lamp assembly power supply,
Wherein, the power supply includes
Multiple first photovoltaic solar panels are separately positioned on the top of multiple residential housings, for converting solar energy into
Electric energy to the intelligent road-lamp assembly power supply,
Multiple second photovoltaic solar panels are separately positioned on multiple lamp stands, for convert solar energy into electrical energy to
To the intelligent road-lamp assembly power supply,
Multiple wind-driven generators are separately positioned on the top of multiple lamp stands, for convert wind energy into electric energy to
The intelligent road-lamp assembly power supply,
Power acquisition unit is electrically connected with municipal power grid and each intelligent road-lamp component respectively by cable.
4. green housing Intelligent energy-saving system according to claim 2, it is characterised in that:
Wherein, the brightness test section includes the infrared brightness monitoring camera being arranged on the lamp stand and is arranged described
Luminance sensor on the ground of residence area.
5. green housing Intelligent energy-saving system according to claim 1, it is characterised in that:
Wherein, the control instruction algorithm set is error backpropagation algorithm, the algorithm the following steps are included:
The artificial intelligence is automatically updated the gas that information processing centre each of receives the residence area by step 1
Image data and the luminance signal are as input value xiAnd set input value xiCorresponding weight wi,
Step 2, by the input value xiAnd the corresponding weight wiIt substitutes into following formula (1) and intermediate control instruction y is calculated,
Step 3, the error e for calculating the intermediate control instruction y and initial control instruction P see below formula (2)
E=y-p (2)
Step 3 adjusts weight w according to the error ei,
Whether within a predetermined range step 4 judges the error e, when the judgment is no, into the step 2, when being judged as
When being, exported the intermediate control instruction y as the brightness control instruction of the corresponding residence area,
It is describedFor excitation function, the n is the total quantity of the input value.
6. green housing Intelligent energy-saving system according to claim 1, which is characterized in that further include:
Private database,
Wherein, once the artificial intelligence, which automatically updates information processing centre, generates the brightness control instruction, the artificial intelligence
Can automatically update information processing centre just using the brightness control instruction as historical light's control instruction, send the historical light
Luminance signal when control instruction as original intensity signal and sends historical light's control instruction by predetermined
Luminance signal is sent to the private database after the luminance signal after time is implemented as instruction,
After the private database receives historical light's control instruction, the original intensity signal and described instruction implementation
Luminance signal, and luminance signal after historical light's control instruction, the original intensity signal, described instruction implementation is carried out
Corresponding storage,
Once the artificial intelligence automatically updates the luminance signal that information processing centre receives each residence area,
The artificial intelligence automatically updates information processing centre and corresponding with the luminance signal in the private database described will just go through
History brightness control instruction is as new initial control instruction, to realize that the artificial intelligence automatically updates information processing centre
Self-teaching, self adjustment, self-renewing.
7. green housing Intelligent energy-saving system according to claim 1, it is characterised in that:
Wherein, the artificial intelligence automatically updates information processing centre and is made of the computer of intelligent algorithm.
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